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| Titel |
ENSO reflections on the climate network : variabilities on top of an 80% robust background |
| VerfasserIn |
Avi Gozolchiani, Kazuko Yamasaki, Henk Dijkstra, Yehiel Berezin, Oded Guez, Shlomo Havlin |
| Konferenz |
EGU General Assembly 2013
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 15 (2013) |
| Datensatznummer |
250084203
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| Zusammenfassung |
| The global temperature anomaly field within an isobar, T(t), can be regarded as a
multidimensional vector. Small regional portions of it may be usefully analyzed in isolation,
and show typical robustness of pattern, i.e. few preferred directions in hyper-space.
However,when viewed in its entirety, T(t) acts almost randomly. The field of cross
covariances between each pair of coordinates of T(t) composes a network of links, which
show a much more robust behavior. Each of the components of this climate network
typically vary by 10 to 30%, and the connectivity structure in its entirety, when
represented by a direction in the multi-dimensional vector space, vary by 10 to
15%.
On top of this robust backbone, we follow the dynamics of the most pronounced
autonomous cluster, using pattern recognition. This cluster is confined to the equatorial
pacific region, which broadens as a function of altitude. The autonomous property is
quantified as a function of time, and is found to strongly depend on the magnitude of the
event. The two extremes of the spatial reminiscent patterns of an event, the cold tongue and
the warm pool patterns, are shown to influence the connectivity of the autonomous cluster in
a significantly different manner. |
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